Project Documentation Hub
Welcome to the documentation hub for Uday's AI-powered applications. This site contains comprehensive guides, architecture documentation, and API references for all projects.
Featured Projects
🧪 AI Ingredient Scanner
Multi-agent AI system for analyzing food and cosmetic ingredient safety. Features mobile app with camera scanning, multi-language OCR, and personalized safety reports.
📧 Email Assistant
AI-powered email management system with intelligent categorization, daily digests, and comprehensive observability dashboard.
Tech Stack Overview
| Technology | Projects | Purpose |
|---|---|---|
| Google Gemini | Both | LLM for AI capabilities |
| LangGraph | Ingredient Scanner | Multi-agent workflow orchestration |
| Qdrant | Ingredient Scanner | Vector database for semantic search |
| FastAPI | Ingredient Scanner | REST API backend |
| React Native | Ingredient Scanner | Cross-platform mobile app |
| Flask | Email Assistant | Web server framework |
| SQLite | Email Assistant | Metrics database |
Quick Links
About
These projects demonstrate modern AI application development patterns including:
- Multi-agent architectures with LLM orchestration
- Vector databases for semantic search
- Real-time processing with caching strategies
- Mobile-first design with React Native
- Observability with metrics tracking
Built with Claude Code assistance.